title: Association of Anthropometric indexes with chronic kidney disease in a Chinese population.
abstract: OBJECTIVE
  Obesity is associated with an increased risk of chronic kidney disease (CKD), but the best anthropometric obesity measure remains controversial. This study aimed to examine the associations of anthropometric indexes with CKD risk and which anthropometric index is a better predictor of CKD.
  
  
  METHODS
  Data was drawn from a cross-sectional study in China. We used four anthropometric indexes: body mass index (BMI), waist circumference (WC), waist-to hip ratio (WHR), and waist-to-height ratio (WHtR). CKD was defined as estimated glomerular filtration rate (eGFR) < 60 ml/ min/1.73 m2 or urinary albumin to creatinine ratio (ACR) ≥ 30 mg/g. Logistic regressions were used for the analyses.
  
  
  RESULTS
  1,834 participants were included in the analyses. After adjusting for potential confounders, BMI, WC and WHtR were significantly associated with CKD in men and women. The respective odd ratios for BMI (every SD increment), WC (every SD increment), and WHtR (every SD increment) were 1.46, 1.40, and 1.45 in men as well as 1.21, 1.31, and 1.38 in women. After adjusting for potential confounders, WHR was associated with CKD in women but not men. In women, the associations of WC, WHR and WHtR with CKD was independent of other MetS components. No difference in WHtR was observed between men and women.
  
  
  CONCLUSIONS
  Anthropometric indexes are associated with CKD. The associations of anthropometric indexes with CKD are independent of other MetS components in women but not men. In women, central obesity indexes are better than BMI for predicting of CKD.
authors.forename: Shanying
authors.initials: S
authors.lastname: Chen
authors.forename: Bide
authors.initials: B
authors.lastname: Wu
authors.forename: Xinyu
authors.initials: X
authors.lastname: Liu
authors.forename: Youming
authors.initials: Y
authors.lastname: Chen
authors.forename: Yongqiang
authors.initials: Y
authors.lastname: Li
authors.forename: Mi
authors.initials: M
authors.lastname: Li
authors.forename: Yan
authors.initials: Y
authors.lastname: Liang
authors.forename: Xiaofei
authors.initials: X
authors.lastname: Shao
authors.forename: Harry
authors.initials: H
authors.lastname: Holthöfer
authors.forename: Hequn
authors.initials: H
authors.lastname: Zou
mesh_terms: D000328:Adult; D000368:Aged; D001827:Body Height; D015992:Body Mass Index; D003430:Cross-Sectional Studies; D005260:Female; D006801:Humans; D016015:Logistic Models; D008297:Male; D024821:Metabolic Syndrome / Q000150:complications; D008875:Middle Aged; D051436:Renal Insufficiency, Chronic / Q000209:etiology*; D055105:Waist Circumference; D049629:Waist-Hip Ratio